Remote Solutions Architect — Pre-Sales & AI Delivery

FullStack; Detroit (MI); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive Salary

Paid Time Off (vacation, sick leave)

100% remote work

Health, dental, and vision insurance

401(k) w/ 4% match

Career advancement opportunities

Continuing education opportunities

Job summary

FullStack seeks an experienced Solutions Architect to lead client engagements and pre-sales efforts, focusing on JavaScript/TypeScript (Node.js, React) and Python for AI use cases. You will design multi-cloud architectures (AWS, Azure, GCP) and translate business goals into scalable technical roadmaps.

You will also partner with AI/ML teams to infuse automation into enterprise applications, while guiding delivery and maintaining architectural excellence for fast-paced client environments.

Qualifications

• 10+ years of professional software engineering and architectural leadership experience.
• Proven experience leading client-facing pre-sales engagements and technical advisory work.
• Strong track record designing and delivering enterprise-grade web/mobile applications and AI-powered solutions.

Responsibilities

• Lead solution architecture for complex web/mobile applications, cloud migrations, and AI-powered solutions.
• Drive pre-sales activities, from technical presentations to architecture documentation and scoping.
• Mentor development teams and ensure code quality, security, and architectural standards.

Skills

JavaScript/TypeScript

Python (AI workflows)

Cloud architecture (AWS/Azure/GCP)

Pre-sales / client engagement

AI tooling and automation

English fluency

Education

Bachelor's degree in Computer Science, Software Engineering, or a related field

Tools

Node.js

React

CI/CD

Kubernetes

Job description

FullStack seeks an experienced Solutions Architect to lead client engagements and pre-sales efforts, focusing on JavaScript/TypeScript (Node.js, React) and Python for AI use cases. You will design multi-cloud architectures (AWS, Azure, GCP) and translate business goals into scalable technical roadmaps.

You will also partner with AI/ML teams to infuse automation into enterprise applications, while guiding delivery and maintaining architectural excellence for fast-paced client environments.